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___________________________ Corporate Risk Management and Dividend Signaling Theory Georges Dionne Karima Ouederni February 2010 CIRRELT-2010-03 Bureaux de Montréal : Bureaux de Québec : Université de Montréal Université Laval C.P. 6128, succ. Centre-ville 2325, de la Terrasse, bureau 2642 Montréal (Québec) Québec (Québec) Canada H3C 3J7 Canada G1V 0A6 Téléphone : 514 343-7575 Téléphone : 418 656-2073 Télécopie : 514 343-7121 Télécopie : 418 656-2624 www.cirrelt.ca

Corporate Risk Management and Dividend Signaling Theory

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Page 1: Corporate Risk Management and Dividend Signaling Theory

___________________________

Corporate Risk Management and Dividend Signaling Theory Georges Dionne Karima Ouederni February 2010 CIRRELT-2010-03

G1V 0A6

Bureaux de Montréal :  Bureaux de Québec : Université de Montréal Université Laval C.P. 6128, succ. Centre-ville 2325, de la Terrasse, bureau 2642 Montréal (Québec) Québec (Québec) Canada H3C 3J7 Canada G1V 0A6 Téléphone : 514 343-7575 Téléphone : 418 656-2073 Télécopie : 514 343-7121 Télécopie : 418 656-2624  

  www.cirrelt.ca 

Page 2: Corporate Risk Management and Dividend Signaling Theory

Corporate Risk Management and Dividend Signaling Theory

Georges Dionne1,*, Karima Ouederni1

1 Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT), and Department of Finance, HEC Montréal, 3000, Côte-Sainte-Catherine, Montréal, Canada H3T 2A7

Abstract. This paper investigates the effect of corporate risk management on dividend

policy. We extend the signaling framework of Bhattacharya (1979) by including the

possibility of hedging the future cash flow. We find that the higher the hedging level, the

lower the incremental dividend. This result is in line with the purported positive relation

between information asymmetry and dividend policy (e.g., Miller and Rock, 1985) and the

assertion that risk management alleviates the information asymmetry problem (e.g.,

DaDalt et al., 2002). Our theoretical model has testable implications.

Keywords. Signaling theory, dividend policy, risk management policy, corporate hedging,

information asymmetry.

Acknowledgement. The authors acknowledge the financial support of the Institut de

Finance Mathématique de Montréal (IFM2), Social Sciences and Humanities Research

Council of Canada (SSHRC), and the Canada Research Chair in Risk Management, HEC

Montréal.

Results and views expressed in this publication are the sole responsibility of the authors and do not necessarily reflect those of CIRRELT. Les résultats et opinions contenus dans cette publication ne reflètent pas nécessairement la position du CIRRELT et n'engagent pas sa responsabilité. _____________________________

* Corresponding author: [email protected]

Dépôt légal – Bibliothèque et Archives nationales du Québec, Bibliothèque et Archives Canada, 2010

© Copyright Dionne, Ouederni and CIRRELT, 2010

Page 3: Corporate Risk Management and Dividend Signaling Theory

1 Introduction

Signaling theory states that changes in dividend policy convey information about changes in

future cash flows (e.g., Bhattacharya, 1979, Miller and Rock, 1985). Dividend signaling

suggests a positive relation between information asymmetry and dividend policy.1 In other

words, the higher the asymmetric information level, the higher is the sensitivity of the

dividend to future prospects of the firm. Several empirical studies attempt to test the

informational content of dividend changes, yet they disagree about the sign and the

significance of the effect of information asymmetry on dividend policy (see Allen and

Michaely, 2003, for a survey).

Another strand of literature suggests that corporate risk management alleviates information

asymmetry problems and hence positively affects the firm value. Information asymmetry

between managers and outside investors is one of the key market imperfection that makes

hedging potentially beneficial. DeMarzo and Duffie (1995) and Breeden and Viswanathan

(1989) argue that hedging reduces noise around earnings streams and thus decreases the level

of asymmetric information regarding the firm value. DaDalt et al. (2002) provide empirical

evidence supporting these theoretical studies.

In this paper we exploit the documented interaction between the level of information

asymmetry and the dividend policy, along with its interaction with corporate risk

management. We argue that risk management alleviates the asymmetric information problem,

which is a main determinant of dividend policy. Though many studies that examine dividend

policy determinants include several measures of information asymmetry, none, to our

knowledge, consider hedging among these measures. Extending the signaling framework of

Bhattacharya (1979), we provide theoretical support for the effect of corporate risk

management on dividend payout policy. We find a negative relation between the hedge ratio

and the incremental dividend payout.

The remainder of the article is organized as follows. In the next section we present the

theoretical model and its implications. The third section concludes.

                                                            1 Evidence that information asymmetry positively affects dividend policy has also been documented by the free cash flow theory (e.g., Lang and Litzenberger, 1989).

Corporate Risk Management and Dividend Signaling Theory

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2 The model

We assume that the firm operates in a dividend signaling world as modeled in Bhattacharya

(1979). We assume that shareholders have a single-period planning horizon and the manager

operates in the best interest of current shareholders. The model is developed in terms of

marginal analysis for a new project taken on by the firm. We assume that the manager is

better informed than outside investors about the firm’s future prospects. Thus the manager is

the only agent informed about the distribution of the new project future cash flow (x). He

attempts to signal his private information via the commitment of an incremental dividend (D).

Dividends are taxed at the rate τ while capital gains are not taxed. There is a penalty (β)

incurred by shareholders in case of cash flow shortfall to cover the committed dividend. β

could be considered as the cost of external financing. When the cash flow (x) exceeds the

committed dividend, the amount of future external financing is reduced by (x-D) and vice

versa.

We extend the model by assuming that it is possible for the manager to hedge a fraction (h) of

the future cash flow using a linear strategy. The reasoning behind this extension is simple.

Outside investors often use estimates of earnings and cash flows as measures of firm value.

Hedging reduces the noise around earnings and future cash flows by reducing the exposure of

the firm to factors beyond the manager’s control. Consequently, hedging lessens the

asymmetric information regarding firm value by reducing the noise in evaluation measures.

We expect that the more willing the firm is to hedge its future cash flow, the less informative

the dividend changes and the lower the manager’s incentives for costly signaling through

dividends. We make the implicit assumption that corporate hedging activity is observable by

outside investors. This assumption is realistic given the implementation of many disclosure

requirement regulations by the Financial Accounting Standards Board (FASB) since the

beginning of the ‘90s (e.g., FAS105, FAS107, FAS119, FAS133, FAS138 and FAS161).

Equation (1) illustrates the new uncertain cash flow resulting from the linear hedging strategy:

( )1 0 1 (1)x hx h x= + −% %

where 0 ≤ h ≤ 1 is the hedge ratio and x0 the expected cash flow.

The incremental part of the objective function of current shareholders is given by equation

(2). The four terms in the equation are respectively: (i) the rise in the firm’s liquidation value

V(D); (ii) the after-tax promised dividend; (iii) the expected gain when the hedged cash flow

Corporate Risk Management and Dividend Signaling Theory

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is greater than the committed dividend; and (iv) the expected loss when the hedged cash flow

is lower than the committed dividend:

0

0

( ) (1 ) ( (1 ) ) ( )1( , ) (2 )1 (1 ) ( (1 ) ) ( )

D

D

x

x

x

x

V D D x h h x D f x d xW D h

r x h h x D f x d x

τ

β

⎡ ⎤+ − + + − −⎢ ⎥= ⎢ ⎥+ + + + − −⎢ ⎥⎣ ⎦

where r is the after-tax interest rate; V(D) the response liquidation value of the firm resulting

from the commitment and the payment of D, and xD the minimum cash flow needed to pay the

promised dividend without penalty. Its value is given by equation (3):

0 ( 3 )(1 )D

D h xxh

−=

2.1 Optimal dividend for a given hedge ratio

Following Bhattacharya (1979) we assume that the future cash flow is uniformly distributed

over [0, t]. Thus the maximization problem is reduced to:

( )( )

221 1max ( , ) ( ) (4)1 2 8 1D

D thtW D h V D Dr h t

τ β⎡ ⎤−

= − + −⎢ ⎥+ −⎢ ⎥⎣ ⎦

The first order condition solves:

( )**

2( ) (5 )

2 (1 )D th

V Dh t

τ β−

′ = +−

At the optimum, the marginal profit from the dividend increase (the increase of the firm

value) equals its marginal cost (taxes and expected cost of external financing).

The second order condition is given by equation (6):

2

2

1( , ) ( ) (6)1 (1 )

W D h V DD r h t

β⎡ ⎤∂ ′′= −⎢ ⎥∂ + −⎣ ⎦

Since V(D) is increasing and concave, h lower than one is a sufficient condition for the second

order condition to be satisfied. The hedge ratio h lies between 0 and 1 given that speculation

and over hedging are not considered in this model.

Corporate Risk Management and Dividend Signaling Theory

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2.2 Signaling equilibrium

The signaling equilibrium demands that V(D*(t)) must be “equal to the true value of future

cash flows for the project whose cash flows are signaled with dividend D”( Bhattacharya

(1979), p. 264). Under the assumption of a stationary dividend, the equilibrium function

V(D*(t)) is given by equation (7):

( )( ) ( )( )( )

( )

2** *

21 (7)2 8 1

D t thtV D t K D th t

τ β⎡ ⎤−⎢ ⎥= − −⎢ ⎥−⎣ ⎦

where K=1/r.

Differentiating equation (7) with respect to t and substituting for V΄(D*) from equation (5), we

obtain:

( ) ( ) ( ) ( ) ( )2 2

2

1 1 11 (8)1 2 1 2 8 1 2 1

D h dD h DK Kh t h dt h h t

β β βτ β⎡ ⎤ ⎡ ⎤

+ + − = − +⎢ ⎥ ⎢ ⎥− − − −⎣ ⎦ ⎣ ⎦

Assuming a linear solution for the first order differential equation (8), ( )D t A t= × , we obtain

the following quadratic equation:

( )( ) ( ) ( ) ( ) ( )

2 22 2 11 1 0 (9)1 1 4 1

K K KA h h A h hK K K

τβ β

+ ⎛ ⎞+ − − − − + =⎜ ⎟+ + +⎝ ⎠

The positive root of the quadratic equation is equal to:

( ) ( )( )

( )( )

( ) ( )( )

( )( )2

22

2 1 1 (10)

2 2

1 2 1 24 1

2 2 1

h h KA

K

K h h K Kh h

K K

τ ββ

τ ββ

β β

− − += − × +

+

+ − − +⎛ ⎞× − − −⎜ ⎟+ +⎝ ⎠

When h=0 we obtain the corresponding values for (9) and (10) in Bhattacharya (1979).

A is the incremental dividend payout. It also illustrates the sensitivity of dividend increases to

earnings prospects. For reasonable values of tax rate (τ ≤ 40%) and external financing cost

(β≤ 20%), A is decreasing in the hedge ratio. In Figure 1, we show the function with some

feasible parameters. We observe a negative effect of the hedge ratio on the incremental

dividend payout. This result is intuitive. It is in line with studies suggesting that cash flows’

predictability decreases the marginal gain from costly signaling through dividends (e.g.,

Corporate Risk Management and Dividend Signaling Theory

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Chang et al. 2006) and the assertion that corporate hedging decreases cash flows volatility and

thus increases their predictability.

Figure 1

The curve illustrates A for 0<h<1, τ = 40%; β = 20% and r = 5%. The straight

line illustrates A for h=0 (Bhattacharya, 1979).

Notice that A is not strictly decreasing in the hedging level for all values of tax rates and

external financing costs. For high but less feasible values of τ > 40% and β> 20%, A first

increases and then decreases in h. For all values of the parameters, A always converges to 0.5

when h is near 1.

2.3 Optimal hedge ratio

Another way to emphasize the interaction between the dividend policy and the corporate

hedging policy is to maximize the incremental shareholders’ wealth in (4) with respect to the

hedge ratio. The first and second order conditions along with the signaling equilibrium

condition provide the following optimal hedge ratio (See appendix for details):

* 2(1 ) (11)Dht

= −

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10.4

0.5

0.6

0.7

0.8

0.9

1

Hedge Ratio

A

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The optimal hedge ratio is decreasing in the dividend payout ratio. This result is in line with

empirical studies suggesting a negative effect of the dividend policy on the hedge ratio (e.g.,

Dionne and Garand, 2003). It is also in line with dividend signaling theory intuition. It

suggests that managers with higher expectations about future performance of the firm

distribute higher dividends while reducing their hedge ratio. Thus, in a signaling world

shareholders are better off when the firm deviates from the full hedging strategy. Finally, (11)

indicates clearly that D and h are interdependent decision variables. In fact we can verify that

*0 1h< < as 112

Dt

> > .

3 Conclusion

The findings of this paper reconcile dividend signaling theory with risk management theory.

We contribute to the dividend signaling literature by emphasizing the interaction between

corporate risk management policy and dividend policy. The interaction between these two

corporate policies has received less attention in the literature despite their common link to

information asymmetry. Using an extension of Bhattacharya’s signaling model, we find that

the hedging of future cash flows reduces the sensitivity of dividends to future earnings. A

straightforward implication of this result is that the informational content of dividend changes

decreases with the hedge ratio. It leads to the empirical test of whether corporate risk

management reduces the power of dividend changes to predict future changes in earnings. It

thus represents a new test of the dividend signaling theory.

References

Allen, F., Michaely, R., 2003. Payout policy, in: G.M. Constantinides & M. Harris & R. M.

Stulz, eds., Handbook of the Economics of Finance, Vol. 1, Chapter 7, 337–429.

Bhattacharya, S., 1979. Imperfect information, dividend policy and ‘the bird in the hand’

fallacy. Bell Journal of Economics 10, 259–70.

Breeden, D., Viswanathan, S., 1998. Why do firms hedge? An asymmetric information

model. Working Paper, Fuqua School of Business, Duke University.

Chang, C., Kumar, P., Sivaramakrishnan, K., 2006. Dividend changes, cash flow

predictability, and Signaling of Future Cash Flows. SSRN online library No 881511.

Corporate Risk Management and Dividend Signaling Theory

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DaDalt, P., Gay, G., Nam J., 2002. Asymmetric information and corporate use of derivatives.

The Journal of Future Markets 22, 261–267.

DeMarzo, P., Duffie, D., 1995. Corporate incentives for hedging and hedge accounting.

Review of Financial Studies, Fall, 743–771.

Dionne, G., Garand, M., 2003. Risk management determinants affecting firms’ values in the

gold mining industry: new empirical evidence. Economics Letters 79: 43-52.

Lang, L., Litzenberger, R., 1989. Dividend announcements: cash flow signaling vs. free cash

flow hypothesis? Journal of Financial Economics 24, 181–191.

Miller, M., Rock, K., 1985. Dividend policy under asymmetric information. The Journal of

Finance 40, 1031-1051.

Corporate Risk Management and Dividend Signaling Theory

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Appendix

The first order condition of the maximization of (4) with respect to h equals:

2

2

1 1 2 (1 ) ( 2 ) ( 2 )( , ) 01 8 (1 )

( 2 ) ( 2 (1 ) ( 2 ) ) 0

t h D t h D t hW D hh r h t

D t h t h D t h

β⎡ ⎤∂ − − − + −

= − =⎢ ⎥∂ + −⎣ ⎦⇔ − − − + − =The second order condition with respect to h is equal to:

( )22 2 2 2 22

2 3

2 1 8 4 2 81 1( , )8 1 (1 )

t h Dt t h t h DW D h

h r h tβ

⎛ ⎞− − + − +∂= − ⎜ ⎟

⎜ ⎟∂ + −⎝ ⎠

The maximization problem has two complementary solutions:

*

12 2

12 1 2

D Dift th

D Dift t

⎧ <⎪⎪= ⎨⎛ ⎞⎪ − >⎜ ⎟⎪ ⎝ ⎠⎩

When we substitute for h=2 D/t in the equilibrium payout ratio (10) we get:

2

12 ( 1)Dh

t

KAK τ=

=+

It is straightforward to show that A is bigger than 0,5. Notice that A=D*/t and when it is

bigger than 1/2 the second order condition of the maximization of shareholders’ wealth with

respect to h is not satisfied so we do not retain this potential solution.

When we substitute for h=2 (1-D/t) in the equilibrium payout ratio (10) we get:

( )( )2 2

112 (1 )Dh

t

KA

Kβτ β= −

+=

+ +

It is straightforward to show that for feasible values of β and τ, A is bigger than 0,5 which

satisfies the second order condition of the maximization of shareholders’ wealth with respect

to h.

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